Proceedings of the International scientific and practical conference ―Science and Global Development‖ (February 20-22, 2026) / Publisher website: www.naukainfo.com. – Barcelona, Spain, 2026. - 229 p.
47 enabling technologies. 4. Options portfolio layer: strategic initiatives as a portfolio of ―real options‖ (staged commitments, scalable bets, exit criteria). 5. Governance & metrics layer: decision rights, feedback loops, KPIs/OKRs, and resource reallocation rules. ASA is compatible with classical strategy (intent + positioning) yet explicitly embeds renewal (capabilities) and uncertainty management (options + governance). Its core theoretical claim is: development strategy quality is determined not only by the correctness of chosen goals, but by the enterprise’s ability to update the strategy without losing coherence. Innovation: StrategyOps operationalizing strategy as a lifecycle A key practical gap in strategy theory is the weak formalization of how strategies are maintained over time. Digital organizations increasingly operationalize analytics and predictive systems through lifecycle practices (monitoring, retraining, governance). The same logic can be extended to strategy development. StrategyOps is proposed as a meta-framework that defines strategy as a managed lifecycle with explicit interfaces: Sensing interface: continuous diagnostics of internal and external signals (performance, risk, market shifts). Foresight interface: scenario generation, early-warning indicators, stress testing, and narrative-to-metric translation. Decision interface: transparent decision rights, escalation rules, and portfolio gates (go / pivot / stop). Execution interface: linking initiatives to capability changes, budgets, and accountable owners. Learning interface: post-implementation reviews, causal inference where possible, and systematic updating of strategic assumptions. This approach is aligned with the broader transition toward continuous diagnostics and structured foresight supported by data pipelines and governance
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